Retail Crime pp 271-295 | Cite as

Crime at the Intersection of Rail and Retail

  • Andrew Newton
Part of the Crime Prevention and Security Management book series (CPSM)


This chapter examines shoplifting at rail station shops over a twelve month period in England and Wales. Key findings were: shoplifting is concentrated at particular stations; the top 20 stations account for 85 percent of shoplifting. Clear temporal patterns were evident; shoplifting was higher on weekdays and during holidays with higher levels of travel; shoplifting is lower when there is a reduced rail service. There was no clear relationship between shoplifting rates outside of a station at shops nearby, and shoplifting within a rail station. It is suggested a correlation may occur for medium and smaller size stations. Large stations may attract offenders in their own right without other shops being nearby. The similarities observed between shoplifting patterns at rail stations and those at non-rail station shops suggest the learning from successful crime prevention measures applied outside of the rail environment could successfully be transferred to rail stations.


Shoplifting Rail Retail Crime Public transport 


  1. Ashby, M., Bowers, K., Borrion, H., & Fujiyama, T. (2017). The When and Where of an Emerging Crime Type: The Example of Metal Theft from the Railway Network of Great Britain. Security Journal, 30(1), 1–23.CrossRefGoogle Scholar
  2. Bamfield, J. (2004). Shrinkage, Shoplifting and the Cost of Retail Crime in Europe: A Cross-Sectional Analysis of Major Retailers in 16 European Countries. International Journal of Retail and Distribution Management, 32(5), 235–241.CrossRefGoogle Scholar
  3. Carmel-Gilfilen, C. (2011). Advancing Retail Security Design: Uncovering Shoplifter Perceptions of the Physical Environment. Journal of Interior Design, 36, 21–38.CrossRefGoogle Scholar
  4. Ceccato, V. (2013). Moving Safely: Crime and Perceived Safety in Stockholm’s Subway Stations. Lanham, MD: Lexington books.Google Scholar
  5. Ceccato, V., & Newton, A. (2015). Safety and Security in Transit Environments: An Interdisciplinary Approach. Crime Prevention and Security Management. London: Palgrave Macmillan.CrossRefGoogle Scholar
  6. Ceccato, V., Uittenbogaard, A., & Bamzar, R. (2013). Security in Stockholm’s Underground Stations: The Importance of Environmental Attributes and Context. Security Journal, 26(1), 33–59.CrossRefGoogle Scholar
  7. Clarke, R. (2012). Shoplifting: Problem-Oriented Guides for Police Problem-Specific Guides Series No. 11 (2nd ed.). Washington, DC: U.S. Department of Justice Office of Community Oriented Policing Services.Google Scholar
  8. Farrington, D., & Burrows, J. (1993). Did Shoplifting Really Decrease? British Journal of Criminology, 33(1), 57–69.CrossRefGoogle Scholar
  9. Gentry, K. (2015). Apple Picking: The Rise of Electronic Device Thefts in Boston Subways. In V. Ceccato & A. Newton (Eds.), Safety and Security in Transit Environments: An Interdisciplinary Approach (pp. 39–55). Hampshire: Palgrave Macmillan.CrossRefGoogle Scholar
  10. Guy, C. (1998). Classifications of Retail Stores and Shopping Centres: Some Methodological Issues. GeoJournal, 45(255), 255–264.CrossRefGoogle Scholar
  11. Hayes, R. (1999). Shop Theft: An Analysis of Shoplifter Perceptions and Situational Factors. Security Journal, 12(2), 7–18.CrossRefGoogle Scholar
  12. Kajalo, S., & Lindblom, A. (2015). Creating a Safe and Pleasant Shopping Environment: A Retailer’s View. Property Management, 33(3), 275–286.CrossRefGoogle Scholar
  13. Katz, J. (1988). Seductions of Crime. New York: Basic Books.Google Scholar
  14. Marteache, N., & Bichler, G. (2016). Crime Prevention and Transportation Systems. In J. Winterdyk & B. Raton (Eds.), Crime Prevention: International Perspectives, Issues, and Trends (pp. 65–90). Florida: CRC Press.Google Scholar
  15. Nelson, A. (1996). The Geography of Shoplifting in a British City: Evidence from Cardiff. Geoforum, 27(3), 409–423.CrossRefGoogle Scholar
  16. Newton, A. (2014). Crime on Public Transport. In G. Bruinsma & D. Weisburd (Eds.), Encyclopedia of Criminology and Criminal Justice (pp. 709–720). New York, NY: Springer.CrossRefGoogle Scholar
  17. Newton, A. (2016). Crime, Transport and Technology. In M. McGuire & T. Holt (Eds.), The Routledge Handbook of Technology, Crime and Justice (pp. 281–294). London: Routledge.Google Scholar
  18. Newton, A., Partridge, H., & Gill, A. (2014a). Above and Below: Measuring Crime Risk in and Around Underground Mass Transit Systems. Crime Science, 3(1), 1–14.CrossRefGoogle Scholar
  19. Newton, A., Partridge, H., & Gill, A. (2014b). In and Around: Identifying Predictors of Theft Within and Near to Major Mass Underground Transit Systems. Security Journal, 27(2), 132–146.CrossRefGoogle Scholar
  20. Robinson, J., & Goridano, L. (2011). Spatial Interplay: Interaction of Land Uses in Relation to Crime Incidents around Transit Stations. In M. Andresen & B. Kinney (Eds.), Patterns, Prevention, and Geometry of Crime (pp. 175–199). London: Routledge.Google Scholar
  21. Salmi, V., Kivivuori, J., & Lehti, M. (2015). Public Disorder and Business Crime Victimization in the Retail Sector. Security Journal, 28(4), 410–424.CrossRefGoogle Scholar
  22. Sidebottom, A., & Johnson, S. D. (2014). Bicycle Theft. In G. Bruinsma & D. Weisburd (Eds.), Encyclopedia of Criminology and Criminal Justice (pp. 162–170). New York, NY: Springer.CrossRefGoogle Scholar
  23. Smith, B. (2013). Differential Shoplifting Risks of Fast-Moving Consumer Goods: A Dissertation Submitted to the Graduate School, Newark Rutgers, The State University of New Jersey. Unpublished PhD Thesis.Google Scholar
  24. Tonglet, M. (2002). Consumer Misbehaviour: An Exploratory Study of Shoplifting. Journal of Consumer Behaviour, 1(4), 336–354.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Andrew Newton
    • 1
  1. 1.University of HuddersfieldHuddersfieldUK

Personalised recommendations